DatriseAI-first ETL

Drift to Apache Superset Integration

AI-first ETL from Drift into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads Drift into Apache Superset

Datrise syncs Drift's conversations, contacts, playbooks, meetings, messages, and accounts into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Drift: Conversational marketing and sales chat.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Drift entities map to Apache Superset

Drift entityApache Superset objectNotes
conversationsdrift_conversationsid PK · custom fields → flattened columns for the explore UI
contactsdrift_contactsid PK · linked to drift_conversations
playbooksdrift_playbooksid PK · linked to drift_conversations
meetingsdrift_meetingsid PK · linked to drift_conversations

FAQ

How does Datrise handle Drift's custom fields in Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the Drift to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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